COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence

A new estimation method for COVID-19 time-varying reproduction number using active cases

(2022) Agus Hasan et al.   Scientific Reports

Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models

(2022) Nillmani et al.   Diagnostics

COVID-19 Diagnosis from Chest X-ray Images Using a Robust Multi-Resolution Analysis Siamese Neural Network with Super-Resolution Convolutional Neural Network

(2022) Happy Nkanta Monday et al.   Diagnostics

Lung cancer histology classification from CT images based on radiomics and deep learning models

(2021) Panagiotis Marentakis et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

(2021) Rajeev Kumar Singh et al.   NEURAL COMPUTING & APPLICATIONS

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

(2021) Hammam Alshazly et al.   SENSORS

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

(2021) Shuai Wang et al.   EUROPEAN RADIOLOGY

Estimation of the fraction of COVID-19 infected people in U.S. states and countries worldwide

(2021) Jungsik Noh et al.   PLoS One

Deep Learning--based Text Classification

(2021) Shervin Minaee et al.   ACM COMPUTING SURVEYS

Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems

(2021) Aanis Ahmad et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans

(2021) Matteo Pennisi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep Learning Methods for Heart Sounds Classification: A Systematic Review

(2021) Wei Chen et al.   Entropy

A survey: Deep learning for hyperspectral image classification with few labeled samples

(2021) Sen Jia et al.   NEUROCOMPUTING

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers

(2021) Iam Palatnik de Sousa et al.   SENSORS

Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection

(2021) Jie Hou et al.   Scientific Reports

COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks

(2021) Wenqi Shi et al.   IEEE Journal of Biomedical and Health Informatics

An Interaction-Based Convolutional Neural Network (ICNN) Toward a Better Understanding of COVID-19 X-ray Images

(2021) Shaw-Hwa Lo et al.   Algorithms

Chest Computed Tomography for Detection of Coronavirus Disease 2019 (COVID-19): Don't Rush the Science

(2020) Michael D. Hope et al.   ANNALS OF INTERNAL MEDICINE

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

Quarantine experience of close contacts of COVID-19 patients in China: A qualitative descriptive study

(2020) Dandan Chen et al.   GENERAL HOSPITAL PSYCHIATRY

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Blood vessel segmentation of retinal image using Clifford matched filter and Clifford convolution

(2019) Somasis Roy et al.   MULTIMEDIA TOOLS AND APPLICATIONS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An Iterative Implementation of Level Set for Precise Segmentation of Brain Tissues and Abnormality Detection from MR Images

(2017) Sudipta Roy et al.   IETE JOURNAL OF RESEARCH

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING